N_MSBS Models and simulations of blockchain systems

University of Finance and Administration
Summer 2026
Extent and Intensity
2/1/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Stanislava Mildeová, CSc. (seminar tutor)
Guaranteed by
doc. Ing. Stanislava Mildeová, CSc.
Department of Computer Science and Mathematics – Departments – University of Finance and Administration
Contact Person: Ivana Plačková
Timetable of Seminar Groups
N_MSBS/cIPH: each even Thursday 14:00–14:44 E303PC, each even Thursday 14:45–15:30 E303PC, S. Mildeová
N_MSBS/pIPH: each even Thursday 10:30–11:14 E303PC, each even Thursday 11:15–12:00 E303PC, each even Thursday 12:15–12:59 E303PC, each even Thursday 13:00–13:45 E303PC, S. Mildeová
Prerequisites
Předmět nemá specifické vstupní předpoklady.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The aim of the course is to get to know the basics of modeling and simulation; develop students' ability to model blockchain-related processes and systems. Within the different types of models, the emphasis is on the tools of System Dynamics and Multi-Agent Modeling. Theoretical postulates are practically exercised through the development of simulation models, focused on the field of finance with an emphasis on selected blockchain systems.
Learning outcomes
Study outcomes and competences: Upon successful completion, students will be able to develop a simulation model for  blockchain-related processes and systems in the specialized InsightMaker software.
Syllabus
  • 1. Reality, model, modeling
  • 2. Types of models, the difference between simulation and optimization
  • 3. System, system analysis and synthesis, Blockchain systems
  • 4. Dynamic system, System dynamics
  • 5. Simulation model of System Dynamics
  • 6. Principles of multi-agent modeling
  • 7. Model calibration, simulation experiment, validation
  • 8. Development environments for modeling, InsightMaker
  • 9. Cryptocurrency mining simulation, financial market models
  • 10. Computer games, blockchain in gaming
  • 11. The Internet of Things decentralized network model 
  • 12.  Model documentation
Literature
    required literature
  • ADÁMEK, Pavel a MEIXNEROVÁ, Lucie. Business modelování: jak na business modely v digitálním prostředí. Expert. Praha: Grada Publishing, 2022. ISBN 978-80-271-3356-7.
    recommended literature
  • DANGERFIELD, Brian. System Dynamics: Theory and Applications. Springer, 2020. ISBN 1493987895.
  • VACEK, Jiří a PEŠÍK, Jiří. Systémové přístupy v managementu. Plzeň: Západočeská univerzita v Plzni, 2022, 176 s.
  • INSIGHTMAKER. TUTORIALS, 2024, https://insightmaker.com/tutorials
  • BOTTI, Vicent, OMICINI, Andrea, MARIANI, Stefano, JULIAN, Vicente. Multi-agent systems. MDPI, e book, 2021. ISBN 978-3-03897-924-1., ISBN 978-3-03897-925-8.
  • BASHIR, Imran. Mastering Blockchain: Distributed ledger technology, decentralization, and smart contracts explained, 2nd Edition. Packt Publishing, 2018. ISBN 9781788838672.
  • KREJČÍ, Igor a Roman KVASNIČKA. Systémová dynamika I. V Praze: Česká zemědělská univerzita, Provozně ekonomická fakulta, 2014. ISBN 978-80-213-2478-7.
Teaching methods
The course combines traditional methods of academic teaching and innovative methods of creative and experiential learning: 1. Classic teaching methods - lecture, training 2. Activating methods - discussion, heuristic methods, methods of situational and staging, educational games 3. Comprehensive methods - group and cooperative learning, individualized instruction, critical and systems thinking, brainstorming, project teaching in teams, teaching computer-assisted, simulation modeling and experimentation.
Assessment methods
Teaching is conducted through lectures and exercises in full-time study. Through guided consultations in part-time study. Minimum mandatory attendance at exercises is 75% in full-time study and 50% on tutorials in part-time study. Course completion: Credit and exam.  The condition for receiving credit is the student's presentation of a chosen topic for the course. The exam is graded by the number of points – i.e., the sum of points for the presentation (50%) and written test (50%). Scoring: 90-100 points A 80-89 points B 70-79 points C 60-69 points D 50-59 points E 0-49 points F.
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
Teacher's information
https://is.vsfs.cz/auth/el/vsfs/leto2025/N_MSBS/opora_predmetu_Modely_a_simulace_blockchainovych_systemu.qwarp
The course is also listed under the following terms Summer 2025, Summer 2027.
  • Enrolment Statistics (Summer 2026, recent)
  • Permalink: https://is.vsfs.cz/course/vsfs/summer2026/N_MSBS